Data Engineer

You’ll combine data engineering, analytics, visualisation and infrastructure to make high-quality data accessible across the business., * Build and maintain scalable data pipelines feeding mobile and web apps, plus internal dashboards.

• Design and implement data architecture to optimise storage, retrieval and processing.
• Develop ETL processes to ingest, transform and load data from multiple sources, especially APIs.
• Work closely with data scientists and software engineers to understand data needs for product features.
• Partner with operations and commercial stakeholders to shape data requirements for reporting and decision-making.
• Create and maintain data documentation, monitor pipeline performance and troubleshoot issues.

• Strong problem-solving skills, shown through academic or professional work.
• Solid foundations in data architecture, data engineering best practices and scalable data solutions.
• Good understanding of data modelling, database design and normalisation.
• Proficiency in Python and SQL, ideally with experience of frameworks such as Airflow, TensorFlow or Spark.
• Willingness to build basic-intermediate backend skills (e.g. Python/Django) to support data integrations.
• Familiarity with data versioning, data quality management, build/deployment automation and CI/CD., * Experience building and maintaining data pipelines in production.
• Exposure to data lakes, data warehousing and modern data storage patterns.
• Experience with cloud platforms (AWS/Azure) and tools like Apache Airflow, Terraform or SageMaker.